code: def __init__(
      self,
      amount: int = 100,
      context: Optional[PipelineContext] = None,
      logger: Optional[Logger] = None,
  ):
      self._pipeline = Pipeline(
          context=context,
          logger=logger,
          steps=[
              SyntheticDataframePrompt(amount=amount),
              PromptExecution(),
              SDFCodeExecutor(),
              ProcessOutput(),
          ],
      )
  
file_path: pandas-ai/pandasai/pipelines/synthetic_dataframe/generate_sdf_pipeline.py
imports: from logging import Logger
  from typing import Optional
  from pandasai.pipelines.logic_units.output_logic_unit import ProcessOutput
  from pandasai.pipelines.synthetic_dataframe.synthetic_df_prompt import SyntheticDataframePrompt
  from pandasai.pipelines.synthetic_dataframe.sdf_code_executor import SDFCodeExecutor
  from pandasai.pipelines.logic_units.prompt_execution import PromptExecution
  from pandasai.pipelines.pipeline import Pipeline
  from pandasai.pipelines.pipeline_context import PipelineContext
label_desc: Use image node_id 1 to create a new GenerateSDFPipeline object  with example: obj = GenerateSDFPipeline(amount, context, logger)